Hendry Rama Sethiawan
Systems Architect holding a Master's degree in Electrical Engineering (AI & Machine Learning focus). Architecting high-performance web systems and resilient digital ecosystems. Creator of jalaran.com AI workspace.
Codex
Systems Architect & AI/ML Researcher with a Master of Engineering in Electrical Engineering & Bachelor of Engineering (Cum Laude) from Universitas Brawijaya, specializing in Machine Learning for Anomaly Detection and Real-Time Data Pipelines.
Experienced in engineering real-time sensor data pipelines at BRIN (National Research & Innovation Agency), ensemble anomaly detection thesis research (Isolation Forest & LOF), and building jalaran.com AI productivity workspace using Next.js (App Router) & FastAPI.
Operations
JALARAN WORKSPACE
Unified AI-assisted productivity workspace bringing AI chat, guided ML data analysis, RSS news reader, Kanban task management, note-taking, and file processing tools together behind one consistent interface. Powered by a local privacy-preserving AI layer and a 3-panel workspace shell.
ENSEMBLE ANOMALY DETECTION
Unsupervised fault detection on a 4-channel force-sensitive-resistor array sampled through a 12-bit ADC. Three detectors with deliberately different inductive biases — Isolation Forest, LOF, and Robust Mahalanobis (MCD) — fused into one calibrated score. Benchmarked against ground truth: across 2,400 samples with 288 injected faults, the median ensemble reached 0.948 ROC-AUC and 0.979 precision at a 10% alert budget.
IDX QUANT SCREENER
A quantitative value screener for the Indonesia Stock Exchange. Pulls fundamentals and daily prices for 49 IDX tickers plus the ^JKSE benchmark, folds them into a single undervaluation score, and ranks the universe. A LogisticRegression + StandardScaler model is validated walk-forward with TimeSeriesSplit, emitting a CSV shortlist and a diagnostic chart.
IDX MARKET PRIMER
A quantitative starter kit for the Indonesian market. Pulls daily price history from Yahoo Finance, computes return, volatility and maximum-drawdown metrics, fits a GARCH(1,1) model per ticker, builds a correlation matrix, and scores data quality before writing the results out as reports.
SETHRY BUSINESS AI CONSULTANT
A business consulting assistant for Indonesian MSMEs. A Flask web application running the Qwen3-0.6B language model locally through Hugging Face Transformers, with automatic CUDA/CPU device selection, category-specific prompting (finance, marketing, operations, HR), batch processing, rate limiting, and a health-check endpoint.
UDP SENSOR DATA LOGGER
A real-time acquisition pipeline for wearable health monitoring devices, built during a research internship at BRIN Bandung. Listens for UDP datagrams across 8 sensor channels, timestamps each packet, validates NaN/inf values inline, and accumulates them into a pandas DataFrame for CSV export.
Service Record
"Delivered a superior machine learning model in thesis research (GPA 3.94) and secured Rp 5.68 million national funding as PKM-K Team Leader."
M.Eng. in Electrical Engineering Candidate (GPA 3.94 / 4.00) · Universitas Brawijaya
Specializing in unsupervised machine learning for anomaly detection. Thesis: Anomaly Detection in Plantar Pressure Data Using Isolation Forest, LOF, and Combined Model. Advanced coursework in Computational Intelligence, Advanced Programming, and Stochastic Systems.
Research Intern · National Research and Innovation Agency (BRIN), Bandung
Engineered real-time sensor data pipeline for continuous wearable health monitoring. Collected thousands of data points across 8 sensors using Python UDP sockets, pandas DataFrames, and real-time NaN/inf validation.
Deputy Head of Department · Brawijaya Aeronautics Workshop
Revitalized post-pandemic workshop operations, managing 30+ team members and executing participation in 3 national engineering competitions while boosting team retention and coordination.
Laboratory Assistant · Digital Systems Laboratory, Universitas Brawijaya
Guided electronic logic comprehension for 50+ engineering students per semester, managed practical lab curriculum, and supervised 9 assistant team members.
PKM-K Team Leader · Student Creativity Program in Entrepreneurship
Secured Rp 5.68 million in national funding for custom Android electronics repair application project, leading a 5-member cross-functional engineering team.
B.Eng. in Electrical Engineering (GPA 3.69 / 4.00 Cum Laude) · Universitas Brawijaya
Completed Bachelor's degree with Cum Laude honors. Final Project: Health Monitoring System for Patients via User Datagram Protocol (UDP) and LoRa wireless radio.
Field Log
Recruitment
Open for architecture advisory, AI/ML pipeline integration, and high-performance web development engagements. Response time under 24 hours for all inquiries.
For NDAs, source code review, or architecture briefs, reach out via the primary contact channel.